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We are seeking immediate post-doctoral positions in Alzheimer’s disease and related neurodegenerative diseases, by developing quantitative methods on transcriptomics datasets from stem cell models
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computational biologists to develop novel bioinformatic and computational methods for understanding the dynamic gene regulations and lineage hierarchies during cardiac, endothelial and hematopoietic development
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Genetics, Neuroscience, Molecular Biology, or Related Discipline. Skilled in conventional molecular methods such as quantitative methods for qualitative and quantitative analysis of gene expression (qPCR
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, such as master's degree and 1-3 years of related work experience in quantitative analytical chemistry methodologies including chromatographic separations, mass spectrometry, analytical method design, use
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the minimum qualification of a PhD and/or MD (or equivalent), 4 years of research experience, and a strong pre- and postdoctoral publication record in immunology. We are interested in applicants working
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simulations and associated methods. You will be expected to publish research in high-profile peer-reviewed scientific journals and present results at conferences. You will also be responsible
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journal articles; development of project leadership skills; NIH and DoD grant submissions; quantitative, qualitative, and mixed methods training; community-based participatory research, and formalized
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research-focused, non-tenure-track appointment. While formal teaching is not required, candidates will play a key role in mentoring and training students and research staff in a collaborative
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preparation. Eventually obtain extramural funding to support own efforts within 5 years. Required Education PhD in applicable basic science research field. Required Experience Minimum of three-to-five years
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will develop andapply cutting-edge methods in predictive and causal modeling for age-related maculardegeneration ( AMD ), a primary cause of irreversible vision loss worldwide. This work willinvolve the